14 citations · 20 across the 10 of their papers we have counts for
11 papers
Covariance Correction for Permutation Statistics in Multiple Testing Problems
Merle Munko, Paavo Sattler
In qualitative statistics, permutation tests are very popular, mainly because of their finite-sample exactness under exchangeability. However, in non-exchangeable settings, the cov…
Inference for competing risks based on area between curves statistics
Simon Mack, Marc Ditzhaus, Merle Munko +1
In competing risks models, cumulative incidence functions are commonly compared to infer differences between groups. Many existing inference methods, however, struggle when these f…
Effect measures for comparing paired event times
Merle Munko, Simon Mack, Marc Ditzhaus +3
The progression-free survival ratio (PFSr) is a widely used measure in personalized oncology trials. It evaluates the effectiveness of treatment by comparing two consecutive event…
Comparison of Estimators for Multi-State Models in Potentially Non-Markov Processes
Carolin Drenda, Dennis Dobler, Merle Munko +1
Various estimators for modelling the transition probabilities in multi-state models have been proposed, e.g., the Aalen-Johansen estimator, the landmark Aalen-Johansen estimator, a…
Quadratic Form based Multiple Contrast Tests for Comparison of Group Means
Paavo Sattler, Markus Pauly, Merle Munko
Comparing the mean vectors across different groups is a cornerstone in the realm of multivariate statistics, with quadratic forms commonly serving as test statistics. However, when…
Multiple tests for restricted mean time lost with competing risks data
Merle Munko, Dennis Dobler, Marc Ditzhaus
Easy-to-interpret effect estimands are highly desirable in survival analysis. In the competing risks framework, one good candidate is the restricted mean time lost (RMTL). It is de…
Early and Late Buzzards: Comparing Different Approaches for Quantile-based Multiple Testing in Heavy-Tailed Wildlife Research Data
Marléne Baumeister, Merle Munko, Kai-Philipp Gladow +3
In medical, ecological and psychological research, there is a need for methods to handle multiple testing, for example to consider group comparisons with more than two groups. Typi…
Conditional Delta-Method for Resampling Empirical Processes in Multiple Sample Problems
Merle Munko, Dennis Dobler
The functional delta-method has a wide range of applications in statistics. Applications on functionals of empirical processes yield various limit results for classical statistics.…
Multiple Comparison Procedures for Simultaneous Inference in Functional MANOVA
Merle Munko, Marc Ditzhaus, Markus Pauly +1
Functional data analysis is becoming increasingly popular to study data from real-valued random functions. Nevertheless, there is a lack of multiple testing procedures for such dat…
RMST-based multiple contrast tests in general factorial designs
Merle Munko, Marc Ditzhaus, Dennis Dobler +1
Several methods in survival analysis are based on the proportional hazards assumption. However, this assumption is very restrictive and often not justifiable in practice. Therefore…
General multiple tests for functional data
Merle Munko, Marc Ditzhaus, Markus Pauly +2
While there exists several inferential methods for analyzing functional data in factorial designs, there is a lack of statistical tests that are valid (i) in general designs, (ii)…